Refine Classification Results
Creating classification images and class activation rasters is the final step in the process of using ENVI Deep Learning to extract features from images. However, the results will likely contain false positives. You can refine the results and use them to improve a trained model, which can result in a more accurate classification. To do this, use the ENVI Region of Interest (ROI) Tool to edit the ROIs that were created from the Class Activation to Pixel ROI or Class Activation to Polygon ROI tool. You can use the ROI Tool to delete records of false positives or to draw new ROIs on more examples. Save the edited ROIs to a new file on disk. The refined ROIs can be combined with the original ROIs to either train a new model again or to refine the trained model.